Naive Bayes classifier for classification tasks. This implementation uses Gaussian Naive Bayes, which assumes that features follow a normal (Gaussian) distribution. The algorithm calculates class priors and feature statistics (mean and variance) for each class, then uses Bayes' theorem to predict class probabilities.
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